Viral outbreak dynamics and evolution in wildlife at the interface with humans

In this study, we used a multi-faceted approach to understand patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and persistence in a wild white-tailed deer (Odocoileus virginianus) population. Serology data indicated transmission of SARS-CoV-2 and persistence during the seven-month sampling period. Traditional disease modelling based on deer-to-deer transmission indicated relatively low prevalence with an R0 of 1.9 and recovery period of 7 days; however, individual-based modelling informed by GPS tracked-movement data captured a potential transmission event. Phylogenetic analyses revealed a recurring pattern of divergent groups of deer-derived sequences with human-derived sequences falling close to each deer-derived cluster. Further, human-derived sequences were frequently sampled months prior to the deer-derived sequences, indicating repeated human to deer spillover. Using multiple types of data as well as both fine and broad scale analyses, we have characterized a pattern of localized outbreaks of SARS-CoV-2 within white-tailed deer populations that are likely recurring due to frequent spillover events. Our results suggest that while deer-to-deer transmission occurs over small spatiotemporal scales, SARS-CoV-2 persistence over longer periods and across larger regions is likely driven by repeated spillover from human populations.

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Publication Details

Journal
Biology Letters
Published
2025-12-01
DOI
https://doi.org/10.1098/rsbl.2025.0540
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Viral outbreak dynamics and evolution in wildlife at the interface with humans

Grete Wilson‐Henjum, Wantida Horpiencharoen, Blair R. Gardner, Kim M. Pepin et al.
Biology Letters
SARS-CoV-2 and COVID-19 Research
article

Viral outbreak dynamics and evolution in wildlife at the interface with humans

Grete Wilson‐Henjum, Wantida Horpiencharoen, Blair R. Gardner, Kim M. Pepin, Matthew Combs, W. David Walter, Kezia R. Manlove, Avery Corondi, Roderick B. Gagne, Aung Nyein Chan, Rachael M. Giglio, M. Wilber, Jeffrey C. Chandler, A Baker, Aaron Westmoreland
article en

Abstract

In this study, we used a multi-faceted approach to understand patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and persistence in a wild white-tailed deer (Odocoileus virginianus) population. Serology data indicated transmission of SARS-CoV-2 and persistence during the seven-month sampling period. Traditional disease modelling based on deer-to-deer transmission indicated relatively low prevalence with an R0 of 1.9 and recovery period of 7 days; however, individual-based modelling informed by GPS tracked-movement data captured a potential transmission event. Phylogenetic analyses revealed a recurring pattern of divergent groups of deer-derived sequences with human-derived sequences falling close to each deer-derived cluster. Further, human-derived sequences were frequently sampled months prior to the deer-derived sequences, indicating repeated human to deer spillover. Using multiple types of data as well as both fine and broad scale analyses, we have characterized a pattern of localized outbreaks of SARS-CoV-2 within white-tailed deer populations that are likely recurring due to frequent spillover events. Our results suggest that while deer-to-deer transmission occurs over small spatiotemporal scales, SARS-CoV-2 persistence over longer periods and across larger regions is likely driven by repeated spillover from human populations.

Biology LettersVol. 21(12)
Utah State University (US), United States Geological Survey (US), Pennsylvania State University (US), The Wildlife Society (US), United States Department of Agriculture (US), Knoxville College (US), Department of Agriculture (BZ), Fred Hollows Foundation (AU), University of Tennessee at Knoxville (US), University of Pennsylvania (US)
U.S. Department of Agriculture
Openalex Percentile: Top 54%
SARS-CoV-2 and COVID-19 Research
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